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Staff Machine Learning Engineer, Bidding and Pacing

Posted 2 days agoViewed

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💎 Seniority level: Staff, 7+ years

📍 Location: United States, Canada

💸 Salary: 230000.0 - 322000.0 USD per year

🔍 Industry: Software Development

🗣️ Languages: English

⏳ Experience: 7+ years

🪄 Skills: AWSDockerLeadershipPostgreSQLPythonSQLCloud ComputingData AnalysisElasticSearchGCPJavaKubernetesMachine LearningPyTorchCross-functional Team LeadershipAlgorithmsCassandraData StructuresREST APIRedisTensorflowScalaData modelingA/B testing

Requirements:
  • 7+ years of contributing high-quality code to production systems that operate at scale.
  • 5+ years of experience building control systems, PID controllers, multi-armed bandits, reinforcement learning algorithms, or bid/pricing optimization systems.
  • Experience leading large engineering teams and collaborating with cross-functional partners is required.
  • Significant experience in one or more general-purpose programming languages like Java, Python, Go, Scala, C++ or similar
  • Data processing frameworks like Spark, Flink, Kafka, Druid, etc.
  • A cloud service provider like AWS or GCP
  • Tools: Kubernetes, Drone, CircleCI, Spinnaker, Argo, Airflow, Docker, Thrift
  • Datastores: ElasticSearch / Amazon OpenSearch, Redis, Postgres, Cassandra, BigQuery
  • An machine learning modeling framework like Tensorflow or PyTorch
Responsibilities:
  • Building Reddit-scale optimizations to improve advertiser outcomes using cutting-edge techniques in the industry.
  • Leverage live auction data and model predictions to adjust campaign bids in real time.
  • Incorporate knowledge of the Reddit ads marketplace into budget pacing algorithms powered by control & reinforcement learning systems
  • Lead the team on designing new bid & budget optimization products and algorithms as well as conducting rigorous A/B experiments to evaluate the business impact.
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🏢 Company: Reddit👥 1001-5000💰 $410,000,000 Series F over 3 years ago🫂 Last layoff almost 2 years agoNewsContentSocial NetworkSocial Media

  • 10+ years of contributing high-quality code to production systems that operate at scale.
  • 2+ years of experience operating as a Senior Staff engineer.
  • 5+ years of experience in building control systems, PID controllers, multi-armed bandits, reinforcement learning algorithms, or bid/pricing optimization systems.
  • Experience leading large engineering teams and collaborating with cross-functional partners.
  • Experience designing optimization algorithms in an ad serving platform or other marketplaces is preferred.
  • Familiarity with control systems and reinforcement learning algorithms is a strong plus.
  • Significant experience in Java, Python, Go, Scala, C++, or similar languages.
  • Experience with data processing frameworks like Spark, Flink, Kafka.
  • Familiarity with AWS or GCP as a cloud service provider.
  • Experience with tools like Kubernetes, Docker, Airflow, etc.
  • Familiarity with datastores such as ElasticSearch, Redis, and Postgres.
  • Building Reddit-scale optimizations to improve advertiser outcomes using innovative techniques.
  • Leveraging live auction data and model predictions to adjust campaign bids in real-time.
  • Incorporating knowledge of the Reddit ads marketplace into budget pacing algorithms.
  • Leading a team of 15+ engineers on designing new bid & budget optimization products.
  • Conducting rigorous A/B experiments to evaluate business impact.
  • Collaborating with cross-functional teams for customer representation.

AWSDockerPythonElasticSearchGCPJavaKafkaKubernetesMachine LearningPyTorchC++AirflowAlgorithmsCassandraGoPostgresRedisSparkTensorflowScala

Posted 3 months ago
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